Roadmap on embodying mechano-intelligence and computing in functional materials and structures

Abstract This is a roadmap article with multiple contributors on different aspects of embodying intelligence and computing in the mechanical domain of functional materials and structures. Overall, an IOP roadmap article is a broad, multi-author review with leaders in the field discussing the latest developments, commissioned by the editorial board. The intention here is to cover various topics of adaptive structural and material systems with mechano-intelligence in the overall roadmap, with twelve sections in total. These sections cover topics from materials to devices to systems, such as computational metamaterials, neuromorphic materials, mechanical and material logic, mechanical memory, soft matter computing, physical reservoir computing, wave-based computing, morphological computing, mechanical neural networks, plant-inspired intelligence, pneumatic logic circuits, intelligent robotics, and embodying mechano-intelligence for engineering functionalities via physical computing. In this paper, we view all the sections with equal contributions to the overall roadmap article and thus list the authorship on the front page via alphabetical order of their last names. On the other hand, for each individual section, the authors decide on their own the order of authorship. (Abstract written by Guest Editors Kon-Well Wang (aka K W Wang) and Suyi Li.)

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Publication Details

Journal
Smart Materials and Structures
Published
2025-02-18
DOI
https://doi.org/10.1088/1361-665x/adb7aa
Citations
11
Primary Topic
Advanced MEMS and NEMS Technologies
Type
article
Field-Weighted Citation Impact
8.03

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article

Roadmap on embodying mechano-intelligence and computing in functional materials and structures

Andrea Alù, Alessio Mondini, Anoop Rajappan, Emanuela Del Dottore et al.
11 citations
Smart Materials and Structures
Advanced MEMS and NEMS Technologies
8.03
article

Roadmap on embodying mechano-intelligence and computing in functional materials and structures

Andrea Alù, Alessio Mondini, Anoop Rajappan, Emanuela Del Dottore, Helmut Häuser, Stephen A. Sarles, Ryan L. Harne, Martin van Hecke, Kon‐Well Wang, Jonathan B. Hopkins, Lance P. Hyatt, Jordan R. Raney, Andres F. Arrieta, Daniel J. Preston, Aniket Pal, Barbara Mazzolai, Metin Sitti, Michael David Dickey, Stefano Mariani, Samuele Ferracin, Qiguang He, Pedro M. Reis, Suyi Li, Uba K. Ubamanyu
article en
11 citations

Abstract

Abstract This is a roadmap article with multiple contributors on different aspects of embodying intelligence and computing in the mechanical domain of functional materials and structures. Overall, an IOP roadmap article is a broad, multi-author review with leaders in the field discussing the latest developments, commissioned by the editorial board. The intention here is to cover various topics of adaptive structural and material systems with mechano-intelligence in the overall roadmap, with twelve sections in total. These sections cover topics from materials to devices to systems, such as computational metamaterials, neuromorphic materials, mechanical and material logic, mechanical memory, soft matter computing, physical reservoir computing, wave-based computing, morphological computing, mechanical neural networks, plant-inspired intelligence, pneumatic logic circuits, intelligent robotics, and embodying mechano-intelligence for engineering functionalities via physical computing. In this paper, we view all the sections with equal contributions to the overall roadmap article and thus list the authorship on the front page via alphabetical order of their last names. On the other hand, for each individual section, the authors decide on their own the order of authorship. (Abstract written by Guest Editors Kon-Well Wang (aka K W Wang) and Suyi Li.)

Smart Materials and StructuresVol. 34(6)
University of Stuttgart (DE), Tulane University (US), Leiden University (NL), The Graduate Center, CUNY (US), Pennsylvania State University (US), Exponent (United States) (US), Koç University (TR), North Carolina State University (US), University of California, Los Angeles (US), City University of New York (US), Chinese University of Hong Kong (HK), Purdue University West Lafayette (US), University of Michigan (US), Huygens Institute for History and Culture of the Netherlands (NL), Knoxville College (US), Institute for Atomic and Molecular Physics (NL), Italian Institute of Technology (IT), University of Bristol (GB), CUNY Advanced Science Research Center (US), École Polytechnique Fédérale de Lausanne (CH), Rice University (US), University of Tennessee at Knoxville (US), University of Pennsylvania (US), Virginia Tech (US)
National Science Foundation, U.S. Department of Defense, Simons Foundation, Virginia Polytechnic Institute and State University, University of Michigan, Engineering and Physical Sciences Research Council, European Research Council, Air Force Office of Scientific Research
Openalex Percentile: Top 3%
Advanced MEMS and NEMS Technologies
8.03
DOIOpen Access PDFOpenAlex
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